Table of Contents
International Journal of Proteomics
Volume 2011, Article ID 896476, 16 pages
http://dx.doi.org/10.1155/2011/896476
Research Article

Proteomic-Based Biosignatures in Breast Cancer Classification and Prediction of Therapeutic Response

1Gonda/UCLA Breast Cancer Research Laboratory, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA
2Department of Surgery, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA
3Cardiovascular Proteomics Center, Center for Biomedical Mass Spectrometry, Boston University School of Medicine, Boston, MA 02118, USA
4Department of Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA
5Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
6Pasarow Mass Spectrometry Laboratory, Semel Institute and Department of Psychiatry and Biobehavioral Science, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA
7Revlon/UCLA Breast Center, David Geffen School of Medicine at UCLA, 200 UCLA Medical Plaza, B265, Los Angeles, CA 90095, USA

Received 22 June 2011; Accepted 12 August 2011

Academic Editor: David E. Misek

Copyright © 2011 Jianbo He et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Jianbo He, Stephen A. Whelan, Ming Lu, et al., “Proteomic-Based Biosignatures in Breast Cancer Classification and Prediction of Therapeutic Response,” International Journal of Proteomics, vol. 2011, Article ID 896476, 16 pages, 2011. https://doi.org/10.1155/2011/896476.